SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2091–2100 of 2605 papers

TitleStatusHype
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles—0
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent FuturesCode1
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
CRUDE: Calibrating Regression Uncertainty Distributions Empirically—0
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path PredictionCode0
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic—0
Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning—0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified